Counting by density estimation is a supervised technique, introduced in the seminal work [1]}, that extends in some way the counting by regression approach previously described. Here, the (linear or not) mapping is between image features and the corresponding density map, i.e., a continuous-valued function. Then, it is possible to calculate the integral over any region in this density map obtaining the estimated number of objects within it.
